code: def score_samples(self, *inputs, concatenate_outputs=True):
      return self._predict_common(
          self._base_container.score_samples,
          self._remainder_model_container.score_samples,
          *inputs,
          concatenate_outputs=concatenate_outputs,
      )
  
file_path: hummingbird/hummingbird/ml/containers/batch_container.py
imports: import numpy
  from hummingbird.ml._utils import pandas_installed
label_desc: Use image node_id 5 for calling the BatchContainer obj's underlying member method code with example usage: obj.score_samples() and returns: self